NS Wind Down Co., Inc.: change in accounts receivable
Change in accounts receivable for NS Wind Down Co., Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All NS Wind Down Co., Inc. financial histories
What this measure means
The cash flow adjustment for the change in receivables during the period. A positive value under this concept means receivables grew and reduced operating cash flow.
Exact concept: us-gaap:IncreaseDecreaseInAccountsReceivable. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2011-01-01 to 2022-12-31. The SEC response was captured on 2026-09-22.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2022-01-01 | 2022-12-31 | -7,414,000 | USD | 2023-02-28 | 10-K · 0001401708-23-000052 SEC |
| 2021-01-01 | 2021-12-31 | 9,526,000 | USD | 2023-02-28 | 10-K · 0001401708-23-000052 SEC |
| 2020-01-01 | 2020-12-31 | 3,949,000 | USD | 2023-02-28 | 10-K · 0001401708-23-000052 SEC |
| 2019-01-01 | 2019-12-31 | 9,805,000 | USD | 2022-03-01 | 10-K · 0001401708-22-000051 SEC |
| 2018-01-01 | 2018-12-31 | -1,807,000 | USD | 2021-03-01 | 10-K · 0001401708-21-000033 SEC |
| 2017-01-01 | 2017-12-31 | -2,277,000 | USD | 2020-03-02 | 10-K · 0001401708-20-000039 SEC |
| 2016-01-01 | 2016-12-31 | 2,476,000 | USD | 2019-03-11 | 10-K · 0001401708-19-000055 SEC |
| 2015-01-01 | 2015-12-31 | 7,328,000 | USD | 2018-03-07 | 10-K · 0001401708-18-000058 SEC |
| 2014-01-01 | 2014-12-31 | 4,109,000 | USD | 2017-03-09 | 10-K · 0001401708-17-000015 SEC |
| 2013-01-01 | 2013-12-31 | 5,009,000 | USD | 2016-03-11 | 10-K · 0001193125-16-501709 SEC |
| 2012-01-01 | 2012-12-31 | 210,000 | USD | 2015-03-13 | 10-K · 0001193125-15-091371 SEC |
| 2011-01-01 | 2011-12-31 | 965,000 | USD | 2014-03-27 | 10-K · 0001193125-14-118770 SEC |
Related NS Wind Down Co., Inc. histories
Inspect the source
- Entity
- NS Wind Down Co., Inc. / CIK 0001401708
- Captured
- SEC response SHA-256
6cb8e3502abce066b064ec5330e9ec37b18a489503cf08fe8e147cc61ff91604
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001401708.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))